{"title":"新工科背景下财经类院校深度学习与神经网络课程教学改革探索","authors":"Qingxu Li","doi":"10.54097/4mrrxm49","DOIUrl":null,"url":null,"abstract":"In response to the new challenges that economic development poses for talent cultivation, China is actively promoting the construction of new engineering disciplines. Under the new engineering background, fostering students' comprehensive cross-disciplinary abilities, entrepreneurial spirit, and practical skills has become one of the main objectives of talent development. This paper analyzes the current state of teaching the \"Deep Learning and Neural Networks\" course and, guided by the concept of new engineering construction, explores teaching reforms specifically from aspects such as optimizing teaching content, innovating practical teaching, faculty development, and optimizing course assessment indicators.","PeriodicalId":512363,"journal":{"name":"Journal of Education and Educational Research","volume":"60 S278","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploration of Deep Learning and Neural Network Course Teaching Reform in Finance and Economics Colleges under the Background of New Engineering\",\"authors\":\"Qingxu Li\",\"doi\":\"10.54097/4mrrxm49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In response to the new challenges that economic development poses for talent cultivation, China is actively promoting the construction of new engineering disciplines. Under the new engineering background, fostering students' comprehensive cross-disciplinary abilities, entrepreneurial spirit, and practical skills has become one of the main objectives of talent development. This paper analyzes the current state of teaching the \\\"Deep Learning and Neural Networks\\\" course and, guided by the concept of new engineering construction, explores teaching reforms specifically from aspects such as optimizing teaching content, innovating practical teaching, faculty development, and optimizing course assessment indicators.\",\"PeriodicalId\":512363,\"journal\":{\"name\":\"Journal of Education and Educational Research\",\"volume\":\"60 S278\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Education and Educational Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54097/4mrrxm49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Education and Educational Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54097/4mrrxm49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploration of Deep Learning and Neural Network Course Teaching Reform in Finance and Economics Colleges under the Background of New Engineering
In response to the new challenges that economic development poses for talent cultivation, China is actively promoting the construction of new engineering disciplines. Under the new engineering background, fostering students' comprehensive cross-disciplinary abilities, entrepreneurial spirit, and practical skills has become one of the main objectives of talent development. This paper analyzes the current state of teaching the "Deep Learning and Neural Networks" course and, guided by the concept of new engineering construction, explores teaching reforms specifically from aspects such as optimizing teaching content, innovating practical teaching, faculty development, and optimizing course assessment indicators.